Generate synthetic regression data
(n_samples=1000, n_features=20, noise=10.0, random_state=42)
| 37 | |
| 38 | |
| 39 | def generate_data(n_samples=1000, n_features=20, noise=10.0, random_state=42): |
| 40 | """Generate synthetic regression data""" |
| 41 | X, y = make_regression( |
| 42 | n_samples=n_samples, |
| 43 | n_features=n_features, |
| 44 | noise=noise, |
| 45 | random_state=random_state |
| 46 | ) |
| 47 | return X.astype(np.float32), y.astype(np.float32) |
| 48 | |
| 49 | |
| 50 | def train_model(model, train_loader, val_loader, epochs=100, lr=0.001, device='cpu'): |